[Model] Reorganize pooling layers (#31973)
Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
This commit is contained in:
@@ -41,6 +41,7 @@ from vllm.model_executor.layers.linear import (
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RowParallelLinear,
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)
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from vllm.model_executor.layers.logits_processor import LogitsProcessor
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from vllm.model_executor.layers.pooler import DispatchPooler
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from vllm.model_executor.layers.quantization import QuantizationConfig
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from vllm.model_executor.layers.vocab_parallel_embedding import (
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ParallelLMHead,
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@@ -49,7 +50,6 @@ from vllm.model_executor.layers.vocab_parallel_embedding import (
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from vllm.model_executor.model_loader.weight_utils import default_weight_loader
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from vllm.sequence import IntermediateTensors
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from ..layers.pooler import DispatchPooler, Pooler
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from .interfaces import SupportsCrossEncoding, SupportsPP
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from .utils import (
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AutoWeightsLoader,
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@@ -351,19 +351,7 @@ class GPT2ForSequenceClassification(nn.Module, SupportsCrossEncoding):
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pooler_config = vllm_config.model_config.pooler_config
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assert pooler_config is not None
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self.pooler = DispatchPooler(
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{
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"token_classify": Pooler.for_token_classify(
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pooler_config, classifier=self.score
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),
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"classify": Pooler.for_classify(
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pooler_config, classifier=self.score, act_fn="classify"
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),
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"score": Pooler.for_classify(
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pooler_config, classifier=self.score, act_fn="score"
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),
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}
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)
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self.pooler = DispatchPooler.for_seq_cls(pooler_config, classifier=self.score)
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def embed_input_ids(self, input_ids: torch.Tensor) -> torch.Tensor:
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return self.transformer.embed_input_ids(input_ids)
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